Exnaton is a start-up spun out of ETH Zurich, which offers software for renewable energy to utility companies. Our software enables energy providers to set up energy communities and smart energy tariffs in their distribution areas. Users of our software can track their energy consumption and buy renewable energy from their neighbors, which makes investing in the energy transition simple and fun!
Role requirements: - degree in computer science, electrical engineering, statistics, mathematics, physics, engineering, or relevant experience; - a minimum of 3 years of industry experience in frontend development; - experience with one of the modern JavaScript frontend frameworks and an understanding of core concepts, such as “component boundaries”, “state management”, and experience with data visualisation; - experience in creating and contributing to UX-focused designs and design systems with themability; - knowledge of JavaScript/TypeScript and knowledge of state-of-the-art frameworks like React; - experience shipping SaaS web applications with well-abstracted components, composability and customizability; - motivation to constantly and consistently learn new skills, make quick decisions, and clearly prioritize what moves the needle; - motivation to work in a climate tech company.
More information here: https://exnaton-ag.jobs.personio.com/job/1742376?language=en...
My vision for the research lab is the following:
- A bunch of phds in a room: create a good working environment, optimize for research output & runway. - Take the "bitter lesson" seriously: most of the successes in modern machine learning are due to deep learning and the ability to leverage vasts amounts of compute and data. I want to study how DL/LLM models reason, using ARC as a benchmark (https://arcprize.org/, https://arxiv.org/abs/1911.01547). Techniques I want to investigate include test time compute, active inference, meta-learning, self-play, or any technique that would be considered "system 2".With that in mind, today I'm looking for the following role:
- ML research engineer Compensation will include flexible options scheme based on results. Interest and knowhow in the following is a plus: Deep learning, transformer models, reasoning, world models, learning-to-learn, mechinterp, bayesian methods, probabilistic programming.I will mostly consider candidates having an EU passport for visa reasons.
To apply, email me at not_a_cat at fastmail dot com.
We are a fast-growing AI startup with the goal of revolutionizing the manufacturing industry. We recently achieved a series A led by Index Ventures. Our software products are used by Fortune 500 companies and industry leaders across Europe and the US, such as Siemens, Lindt and Roche.
We're after a Senior DevOps/Cloud/Infrastructure Engineer to take ownership of our software infrastructure and deployments. This position is ideal for a mid-career professional who is enthusiastic about complex software products, eager to grow their impact, and driven to build leadership skills in the trenches.
https://ethonai.recruitee.com/o/senior-devsecops-engineer
Buzzwords: AWS, Kubernetes, Docker, Terraform, Ansible, Postgres, Python, Timescale, CI/CD
(Please note: We typically don't sponsor visas except in exceptional circumstances)
My take: We're a small but high performing team, complete with ex-FAANGers and ETH PHDs. You'll be helping me build out Platform Engineering with K8s as a greenfield project, along with supporting the companies current deployments. There's the typical fast startup pace but our founders take WLB/employee health very seriously.